The d2b connects practice with science
In order to anchor data-based decisions and management processes in the company culture during the digital age, self-service analysis tools and cloud-based infrastructures are increasingly becoming necessary. The IoT and social networks make ever more data available in different data formats which require different system architectures and different software systems (big data).
For this purpose, this type of data must be integrated into the existing system landscape and the quality of the data must be ensured. But this is not only relevant for business decisions. End customers increasingly conduct research and searches on the internet before making a decision – be it prior to making purchase decisions, when there is a lack of product information, for the purpose of seeking advice from other users (Web2.0), or even so that they can understand processes and procedures. This means that business processes are not just becoming more mobile, but the mobile internet is also increasingly providing an impetus for starting business processes. Companies must be ready to use the mobile channel as the most important contact point for customers. In addition to having online presence, it is important to establish an e-business in which collaboration and data exchange are ensured across the entire business all the way to the end customer without any media breaks. Mobile business processes and mobile end devices (wearable computing) that support location-independent activities are becoming more important. Human decisions are increasingly made based on mobile availability analysis – based on real-time data and sensors. Data-driven decisions are generated, leading to a data-driven business.
Kick-off event in pictures
The Institute for Data-Driven Business, constituted in June, already issued invitations to its first lecture event on June 27, 2017. The kick-off event, which in addition to a lecture series also discussed the band width of big data, saw many internal and external visitors, including visitors from other faculties and Master students.
Data-driven business lab
Affiliated with the Institute is a "Data-driven business lab" in which applications and pilot projects are implemented and prototypes created. In particular, initiatives are carried out on the cross-cutting topics of "Finance," "Aviation," "Social Media," "Law," and "Web 4.0" also while working together with businesses.
Profile and information of the institute
The Institute for Data-Driven Business is a research institution in the area of digital business of the Business and Law faculty. The responsibility of the Institute is to manage and promote application-oriented research and teaching in the areas "Processes and Integration", "Business Analytics", "Smart Data", and "Information Logistics". It is an interdisciplinary institution in which scientists perform research in different disciplines. So the Institute involves business information systems specialists, as well as colleagues from the areas Business Administration and Law, Finance/Banking, and Logistics. One focus are lies in the analysis and design of business administration applications, such as big data initiatives or "wearable device" solutions. The activities of the Institute also include the assessment and creation of business cases, analysis of their profitability, and certificates for the use of (mass) data. The Institute also performs empirical studies to determine the potential of new technologies, deploy them profitably, and develop attractive future markets. The goal of the applied research at the Institute is to implement business administration methods and technologies in practice, and to reflect on practical solutions from a theoretical perspective.